IoT-Driven Smart Street Lighting System for Energy Efficiency and Adaptive Urban Illumination

Abstract

The main consideration in the present field technologies are Automation, Power consumption and cost effectiveness. 
Automation is intended to reduce man power with the help of intellige nt systems. Power saving is the main 
consideration forever as the source of the power are getting diminished due to various reasons. As we all know that 
energy consumption has been increasing day by day so, to overcome these consequences we are using IoT devices. 
This project proposes a modal for modifying street light illumination by using sensors at minimum electrical energy 
consumption. When presence is detected, all surrounding street lights glow at their brightest mode, else they stay in the 
dim mode. LED bulbs shall be implemented as they are better than conventional incandescent bulbs in every way. 
This shall reduce heat emissions, power consumption, maintenance and replacement costs and carbon dioxide 
emissions. Coupled with SSSLS (Solar Smart Street Light System), massive energy-savings are envisioned. Also, a 
demonstration with a real-time proto type model involving costs and implementation procedure has been developed 
using internet of things to visualize the real time updates of street processing and notifying the changes occur.